AH2314 Individual Choice Modeling and Market Analysis 7.5 credits

Modellering av individers val samt marknadsanalys

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Course information

Content and learning outcomes

Course contents *

To understandand predictthe behavior of individuals − how, what and whyindividuals makethe choices they make − is centralin economics andmarketing.For example, in the private sector it is important for executives to know howconsumers will react tochanges such as the introductionof a new product, or the alteration ofgoodsattributes.The public sector hassimilar issues, for exampleif acar rebateis introduced forenvironmentally friendly cars, how is thecar market affectedthen?Can the environmental objectives be achieved?Withinthis course, we study models ofindividualchoiceandeconometricmethods forinference andprediction.

The course consists ofthree differentparts.

  1. Theoryof discrete choice, randomutility maximization, mixed logit models, econometric estimation, simulatedmaximum likelihood
  2. Alternative choice models, Prospect theory, reference dependence, anchoring, framing and anomalies. Choice modeling "as if" ersus "as is".
  3. Bayesianmethodologyin marketing

Intended learning outcomes *

After completing the course, the student should be able to

  • describe differenttheories andmodels ofindividuals' choices
  • formulate models of discrete choice, market demand and consumer surplus
  • explain theconcept ofrationality,the basicas-ifassumptionin the theory ofexpected utilityas well asanomalies inthe behavior of individuals.
  • Independently program models andanalyze data
  • use simulation-based methods for prediction and estimation
  • describe and use frequentist and Bayesian approaches for inference and prediction
  • designing experiments / surveys for data collection, especially Stated-preference techniques

Course Disposition

For each part of the course, a theoretical basis is provided during the lectures, which will providea knowledge basefor acomputer lab/homework assignment. Each part of the courseis accompanied by ahomework assignment. That is, normally,a total of three assignments are required to be completed during the course and the assignment reports are graded. The final course grade isbased on an appraisalof the results ofthe reportsand the resultsof the exam.

Literature and preparations

Specific prerequisites *

For admitted students to the Master of Science in Civil Engineering and Urban Management (CSAMH) or the Master of Science in Transport and Geoinformation Technology (TTGTM), there are no additional requirements.

For other students:

  • A completed bachelor’s degree in civil engineering, urban planning, geomatics, geography, engineering physics, computer science, statistics, economics, and/or mathematics, including at least 6 university credits (hp) in each of the following or their equivalents: Programming, Linear Algebra, Calculus in One Variable, and Probability & Statistics; and
  • English language proficiency equivalent to (the Swedish upper secondary school) English course B/6.

Recommended prerequisites

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Train, K., 2003, "Discrete choice methods with simulation", Cambridge University Press (Tillgänglig online).

Rossi, PE, Allenby, GM, McCulloch, R, (2005), Bayesian Statistics and Marketing.

S.Washington, M Karlaftis, F.Mannering (2003), Statistical and Econometric Methods for Transportation Data Analysis.

Utvalda artiklar

Examination and completion

Grading scale *

A, B, C, D, E, FX, F

Examination *

  • PRO1 - Project Assignment, 4.5 credits, Grading scale: A, B, C, D, E, FX, F
  • TEN1 - Examination, 3.0 credits, Grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade *

  • PRO1 - Project assignment, 4,5 hp, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Examination, 3,0 hp, grading scale: P, F

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Anders Karlström

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web AH2314

Offered by

ABE/Systems Analysis and Economics

Main field of study *

Built Environment

Education cycle *

Second cycle

Add-on studies

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Marcus Sundberg (marcus.sundberg@abe.kth.se)

Ethical approach *

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.